Learning Extjs Fourth Edition
Download Learning Extjs Fourth Edition PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Learning Extjs Fourth Edition book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Learning Ext JS
Author: Carlos A. Méndez
language: en
Publisher: Packt Publishing Ltd
Release Date: 2015-07-31
The new Sencha Ext JS 5 library offers hundreds of components and APIs to build robust applications and fulfills the critical needs of customers all around the world. The new version 5 is packed with new themes and the MVVM architecture that allows you to connect the model layer to the view and automatically update the model when the view is modified and vice versa. This book covers many new features and components of Ext JS 5. At the beginning, learn the core concepts of Sencha Ext JS, components, data models, and mapping. This book also teaches you about event-driven development, forms and grids, charts and themes, and third-party plugins. Later on in the book, you'll learn the implementations of the Tree panel, the MVC pattern, and a completely new feature called MVVM. By working sequentially through each chapter and following the step-by-step guides, you will be able to create a basic application.
Hands-On Machine Learning with C++
Author: Kirill Kolodiazhnyi
language: en
Publisher: Packt Publishing Ltd
Release Date: 2020-05-15
Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key Features Become familiar with data processing, performance measuring, and model selection using various C++ libraries Implement practical machine learning and deep learning techniques to build smart models Deploy machine learning models to work on mobile and embedded devices Book DescriptionC++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-world examples. This book will get you hands-on with tuning and optimizing a model for different use cases, assisting you with model selection and the measurement of performance. You’ll cover techniques such as product recommendations, ensemble learning, and anomaly detection using modern C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib. Next, you’ll explore neural networks and deep learning using examples such as image classification and sentiment analysis, which will help you solve various problems. Later, you’ll learn how to handle production and deployment challenges on mobile and cloud platforms, before discovering how to export and import models using the ONNX format. By the end of this C++ book, you will have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems.What you will learn Explore how to load and preprocess various data types to suitable C++ data structures Employ key machine learning algorithms with various C++ libraries Understand the grid-search approach to find the best parameters for a machine learning model Implement an algorithm for filtering anomalies in user data using Gaussian distribution Improve collaborative filtering to deal with dynamic user preferences Use C++ libraries and APIs to manage model structures and parameters Implement a C++ program to solve image classification tasks with LeNet architecture Who this book is for You will find this C++ machine learning book useful if you want to get started with machine learning algorithms and techniques using the popular C++ language. As well as being a useful first course in machine learning with C++, this book will also appeal to data analysts, data scientists, and machine learning developers who are looking to implement different machine learning models in production using varied datasets and examples. Working knowledge of the C++ programming language is mandatory to get started with this book.
Anti-Hacker Tool Kit, Fourth Edition
Author: Mike Shema
language: en
Publisher: McGraw Hill Professional
Release Date: 2014-02-07
Featuring complete details on an unparalleled number of hacking exploits, this bestselling computer security book is fully updated to cover the latest attack types—and how to proactively defend against them. Anti-Hacker Toolkit, Fourth Edition is an essential aspect of any security professional's anti-hacking arsenal. It helps you to successfully troubleshoot the newest, toughest hacks yet seen. The book is grounded in real-world methodologies, technical rigor, and reflects the author's in-the-trenches experience in making computer technology usage and deployments safer and more secure for both businesses and consumers. The new edition covers all-new attacks and countermeasures for advanced persistent threats (APTs), infrastructure hacks, industrial automation and embedded devices, wireless security, the new SCADA protocol hacks, malware, web app security, social engineering, forensics tools, and more. You’ll learn how to prepare a comprehensive defense--prior to attack--against the most invisible of attack types from the tools explained in this resource, all demonstrated by real-life case examples which have been updated for this new edition. The book is organized by attack type to allow you to quickly find what you need, analyze a tool's functionality, installation procedure, and configuration--supported by screen shots and code samples to foster crystal-clear understanding. Covers a very broad variety of attack types Written by a highly sought-after security consultant who works with Qualys security Brand-new chapters and content on advanced persistent threats, embedded technologies, and SCADA protocols, as well as updates to war dialers, backdoors, social engineering, social media portals, and more